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Record W4394823558 · doi:10.1038/s41588-024-01695-w

The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars

2024· article· en· W4394823558 on OpenAlexafffund
Jarkko Salojärvi, Aditi Rambani, Zhe Yu, Romain Guyot, Susan R. Strickler, Maud Lepelley, Cui Wang, Sitaram Rajaraman, Pasi Rastas, Chunfang Zheng, Daniella Santos Muñoz, João Meidânis, Alexandre Rossi Paschoal, Yves Bawin, Trevor J. Krabbenhoft, Zhen Qin Wang, Steven J. Fleck, Rudy Aussel, Laurence Bellanger, Aline Charpagne, Coralie Fournier, Mohamed Kassam, Grégory Lefebvre, Sylviane Métairon, D Moine, Michel Rigoreau, Jens Stolte, Perla Hamon, Emmanuel Couturon, Christine Tranchant‐Dubreuil, Minakshi Mukherjee, Tianying Lan, Jan Engelhardt, Peter F. Stadler, Samara Mireza Correia De Lemos, Suzana Ivamoto Suzuki, Ucu Sumirat, Ching Man Wai, Nicolas Dauchot, Simón Orozco-Arias, Andréa Garavito, Catherine Kiwuka, Pascal Musoli, Anne Nalukenge, Erwan Guichoux, Havinga Reinout, Martin Smit, Lorenzo Carretero‐Paulet, Oliveiro Guerreiro Filho, Masako Toma Braghini, Lílian Padilha, Gustavo Hiroshi Sera, Tom Ruttink, Robert J Henry, Pierre Marraccini, Yves Van de Peer, Alan Carvalho Andrade, Douglas Silva Domingues, Giovanni Giuliano, Lukas A. Mueller, Luiz Filipe Protásio Pereira, Stéphane Plaisance, Valérie Poncet, Stéphane Rombauts, David Sankoff, Victor A. Albert, Dominique Crouzillat, Alexandre de Kochko, Patrick Descombes

Bibliographic record

VenueNature Genetics · 2024
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsUniversity of Ottawa
FundersInstituut voor Landbouw-, Visserij- en Voedingsonderzoek, Vlaamse OverheidVlaamse regeringInstituto Nacional de Ciência e Tecnologia do CaféNatural Sciences and Engineering Research Council of CanadaFundação AraucáriaUniversiteit GentFonds Wetenschappelijk OnderzoekInstitut de Recherche pour le DéveloppementConselho Nacional de Desenvolvimento Científico e TecnológicoUniversitair Ziekenhuis GentAcademy of FinlandHelsingin YliopistoFundação de Amparo à Pesquisa do Estado de São PauloNanyang Technological UniversityEuropean CommissionDirectorate for Biological SciencesCanada Research ChairsUniversity at BuffaloUniversidade Tecnológica Federal do ParanáNational Science Foundation
KeywordsBiologyCoffea canephoraCoffea arabicaDomesticationPloidyGenomicsGenomePopulationBotanyGeneticsGene

Abstract

fetched live from OpenAlex

Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C. eugenioides and C. canephora. The three species exhibit largely conserved genome structures between diploid parents and descendant subgenomes, with no obvious global subgenome dominance. We find evidence for a founding polyploidy event 350,000-610,000 years ago, followed by several pre-domestication bottlenecks, resulting in narrow genetic variation. A split between wild accessions and cultivar progenitors occurred ~30.5 thousand years ago, followed by a period of migration between the two populations. Analysis of modern varieties, including lines historically introgressed with C. canephora, highlights their breeding histories and loci that may contribute to pathogen resistance, laying the groundwork for future genomics-based breeding of C. arabica.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.286
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations85
Published2024
Admission routes2
Has abstractyes

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